What's the best approach for efficient data parsing in large datasets? Alternatively: Struggling with

Dude, PySpark is a beast for large datasets! If you’re dealing with massive files, it’s worth the learning curve.

For quick fixes, I use `pd.read_csv()` with `error_bad_lines=False` (lol) and then clean up later. Not elegant, but gets the job done.

Also, check out `dask` if Pandas is too slow—it’s like Pandas but scales better for big data parsing tasks.